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Microwave Signal Spatial Domain Transformation using Signal Processing and Image Reconstruction Method

This study focused on the transformation of frequency domain signals from a planar scanning into a planar image. Computer Simulation Technology Microwave Studio is an efficient tool for 3D Electromagnetic simulation. It performed high accuracy simulation for 3D model simulation. This electromagnetic...

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Main Authors: Chew, Kim Mey, Rubita, Sudirman, How, Yu Hang, Yong, Ching Yee
Format: Proceeding
Language:English
Published: 2014
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://ir.unimas.my/id/eprint/45893/1/P15.%20Microwave%20Signal%20Spatial%20Domain%20Transformation%20using%20Signal%20Processing%20and%20Image%20Reconstruction%20Method.pdf
http://ir.unimas.my/id/eprint/45893/
https://ieeexplore.ieee.org/document/6959901
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spelling my.unimas.ir.458932024-08-30T02:41:17Z http://ir.unimas.my/id/eprint/45893/ Microwave Signal Spatial Domain Transformation using Signal Processing and Image Reconstruction Method Chew, Kim Mey Rubita, Sudirman How, Yu Hang Yong, Ching Yee QA75 Electronic computers. Computer science This study focused on the transformation of frequency domain signals from a planar scanning into a planar image. Computer Simulation Technology Microwave Studio is an efficient tool for 3D Electromagnetic simulation. It performed high accuracy simulation for 3D model simulation. This electromagnetic simulator is used to simulate a round phantom which has a created target inside the phantom. An antenna emitted microwave signal is being placed in front of the phantom to transmit a short pulse to the model. Scanning was performed along the fixed axis in front of the model. A mono-static antenna was used as the transmitter and receiver of the signals. The frequency domain data sets reflected and received by the antenna were imported into MATLAB software for image reconstruction. Subtraction method was used to reduce the reflection of antenna which was recognized as the unwanted noise in the signals. All time domain signals were smoothed to reduce the sharp peak and had a more continuous waveform, and arranged into matrix form. Image reconstruction function in MATLAB was used to transform the matrix envelope into a planar image. The phantom and target is identified by the different intensity of the colormap showed in the reconstructed image. 2014-11-20 Proceeding PeerReviewed text en http://ir.unimas.my/id/eprint/45893/1/P15.%20Microwave%20Signal%20Spatial%20Domain%20Transformation%20using%20Signal%20Processing%20and%20Image%20Reconstruction%20Method.pdf Chew, Kim Mey and Rubita, Sudirman and How, Yu Hang and Yong, Ching Yee (2014) Microwave Signal Spatial Domain Transformation using Signal Processing and Image Reconstruction Method. In: 2013 1st International Conference on Artificial Intelligence, Modelling and Simulation, 03-05 December 2013, Kota Kinabalu, Malaysia. https://ieeexplore.ieee.org/document/6959901
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Chew, Kim Mey
Rubita, Sudirman
How, Yu Hang
Yong, Ching Yee
Microwave Signal Spatial Domain Transformation using Signal Processing and Image Reconstruction Method
description This study focused on the transformation of frequency domain signals from a planar scanning into a planar image. Computer Simulation Technology Microwave Studio is an efficient tool for 3D Electromagnetic simulation. It performed high accuracy simulation for 3D model simulation. This electromagnetic simulator is used to simulate a round phantom which has a created target inside the phantom. An antenna emitted microwave signal is being placed in front of the phantom to transmit a short pulse to the model. Scanning was performed along the fixed axis in front of the model. A mono-static antenna was used as the transmitter and receiver of the signals. The frequency domain data sets reflected and received by the antenna were imported into MATLAB software for image reconstruction. Subtraction method was used to reduce the reflection of antenna which was recognized as the unwanted noise in the signals. All time domain signals were smoothed to reduce the sharp peak and had a more continuous waveform, and arranged into matrix form. Image reconstruction function in MATLAB was used to transform the matrix envelope into a planar image. The phantom and target is identified by the different intensity of the colormap showed in the reconstructed image.
format Proceeding
author Chew, Kim Mey
Rubita, Sudirman
How, Yu Hang
Yong, Ching Yee
author_facet Chew, Kim Mey
Rubita, Sudirman
How, Yu Hang
Yong, Ching Yee
author_sort Chew, Kim Mey
title Microwave Signal Spatial Domain Transformation using Signal Processing and Image Reconstruction Method
title_short Microwave Signal Spatial Domain Transformation using Signal Processing and Image Reconstruction Method
title_full Microwave Signal Spatial Domain Transformation using Signal Processing and Image Reconstruction Method
title_fullStr Microwave Signal Spatial Domain Transformation using Signal Processing and Image Reconstruction Method
title_full_unstemmed Microwave Signal Spatial Domain Transformation using Signal Processing and Image Reconstruction Method
title_sort microwave signal spatial domain transformation using signal processing and image reconstruction method
publishDate 2014
url http://ir.unimas.my/id/eprint/45893/1/P15.%20Microwave%20Signal%20Spatial%20Domain%20Transformation%20using%20Signal%20Processing%20and%20Image%20Reconstruction%20Method.pdf
http://ir.unimas.my/id/eprint/45893/
https://ieeexplore.ieee.org/document/6959901
_version_ 1808981531382775808
score 13.211869

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